package com.zenithmind.user.service.impl;

import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.zenithmind.user.mapper.UserMapper;
import com.zenithmind.user.pojo.domain.User;
import com.zenithmind.user.pojo.vo.DashboardStatsVO;
import com.zenithmind.user.pojo.vo.UserGrowthVO;
import com.zenithmind.user.pojo.vo.SystemMetricsVO;
import com.zenithmind.user.pojo.vo.TodayOverviewVO;
import com.zenithmind.user.service.DashboardService;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

import java.lang.management.ManagementFactory;
import java.lang.management.MemoryMXBean;
import java.lang.management.ThreadMXBean;
import java.time.LocalDate;
import java.time.LocalDateTime;
import java.time.format.DateTimeFormatter;
import java.util.*;

/**
 * 仪表盘服务实现类
 * 
 * @author ZenithMind Team
 * @since 2025-01-09
 */
@Slf4j
@Service
public class DashboardServiceImpl implements DashboardService {

    @Autowired
    private UserMapper userMapper;

    @Override
    public DashboardStatsVO getDashboardStats() {
        log.info("获取仪表盘统计数据");
        
        DashboardStatsVO stats = new DashboardStatsVO();
        
        // 获取用户总数
        Long userCount = userMapper.selectCount(null);
        stats.setUserCount(userCount);
        
        // 模拟其他服务的数据（实际应该通过Feign调用其他服务）
        stats.setCourseCount(89L);
        stats.setExamCount(156L);
        stats.setNewsCount(234L);
        stats.setArticleCount(178L);
        stats.setTaskCount(92L);
        stats.setProductCount(45L);
        stats.setChatRoomCount(12L);
        
        // 获取今日新增用户
        LocalDateTime todayStart = LocalDate.now().atStartOfDay();
        LambdaQueryWrapper<User> todayWrapper = new LambdaQueryWrapper<>();
        todayWrapper.ge(User::getCreateTime, todayStart);
        Long todayNewUsers = userMapper.selectCount(todayWrapper);
        stats.setTodayNewUsers(todayNewUsers);
        
        // 模拟其他数据
        stats.setTodayVisits(1250L);
        stats.setOnlineUsers(68L);
        stats.setSystemRunDays(365L);
        
        return stats;
    }

    @Override
    public List<UserGrowthVO> getUserGrowthTrend(String startDate, String endDate, String granularity) {
        log.info("获取用户增长趋势: {} - {}, 粒度: {}", startDate, endDate, granularity);
        
        List<UserGrowthVO> growthData = new ArrayList<>();
        
        // 模拟7天的数据
        LocalDate start = LocalDate.now().minusDays(6);
        for (int i = 0; i < 7; i++) {
            LocalDate date = start.plusDays(i);
            UserGrowthVO growth = new UserGrowthVO();
            growth.setDate(date.format(DateTimeFormatter.ofPattern("yyyy-MM-dd")));
            growth.setNewUsers((long) (Math.random() * 50 + 10));
            growth.setTotalUsers(1000L + i * 20);
            growth.setActiveUsers((long) (Math.random() * 200 + 100));
            growth.setRetentionRate(Math.random() * 0.3 + 0.7);
            growthData.add(growth);
        }
        
        return growthData;
    }

    @Override
    public Map<String, Object> getSystemAccessStats(String startDate, String endDate) {
        log.info("获取系统访问统计: {} - {}", startDate, endDate);
        
        Map<String, Object> accessStats = new HashMap<>();
        
        // 模拟访问统计数据
        List<Map<String, Object>> hourlyStats = new ArrayList<>();
        for (int i = 0; i < 24; i++) {
            Map<String, Object> hourStat = new HashMap<>();
            hourStat.put("hour", String.format("%02d:00", i));
            hourStat.put("visits", (int) (Math.random() * 100 + 20));
            hourStat.put("pageViews", (int) (Math.random() * 300 + 50));
            hourlyStats.add(hourStat);
        }
        
        accessStats.put("hourlyStats", hourlyStats);
        accessStats.put("totalVisits", 2580);
        accessStats.put("totalPageViews", 8960);
        accessStats.put("avgSessionDuration", "00:05:32");
        accessStats.put("bounceRate", 0.35);
        
        return accessStats;
    }

    @Override
    public List<Map<String, Object>> getRecentActivities(Integer limit) {
        log.info("获取最近活动, 限制数量: {}", limit);
        
        List<Map<String, Object>> activities = new ArrayList<>();
        
        String[] actions = {"登录", "注册", "发布文章", "创建课程", "提交考试", "完成任务"};
        String[] users = {"张三", "李四", "王五", "赵六", "钱七", "孙八"};
        
        for (int i = 0; i < limit; i++) {
            Map<String, Object> activity = new HashMap<>();
            activity.put("id", i + 1);
            activity.put("user", users[(int) (Math.random() * users.length)]);
            activity.put("action", actions[(int) (Math.random() * actions.length)]);
            activity.put("time", LocalDateTime.now().minusMinutes((int) (Math.random() * 120)).format(
                DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss")));
            activity.put("ip", "192.168.1." + (int) (Math.random() * 255));
            activities.add(activity);
        }
        
        return activities;
    }

    @Override
    public Map<String, Object> getPopularContent() {
        log.info("获取热门内容统计");
        
        Map<String, Object> popularContent = new HashMap<>();
        
        // 热门文章
        List<Map<String, Object>> hotArticles = new ArrayList<>();
        for (int i = 1; i <= 5; i++) {
            Map<String, Object> article = new HashMap<>();
            article.put("title", "热门文章标题 " + i);
            article.put("views", (int) (Math.random() * 1000 + 500));
            article.put("likes", (int) (Math.random() * 100 + 20));
            hotArticles.add(article);
        }
        
        // 热门课程
        List<Map<String, Object>> hotCourses = new ArrayList<>();
        for (int i = 1; i <= 5; i++) {
            Map<String, Object> course = new HashMap<>();
            course.put("title", "热门课程 " + i);
            course.put("students", (int) (Math.random() * 500 + 100));
            course.put("rating", Math.round((Math.random() * 2 + 3) * 10) / 10.0);
            hotCourses.add(course);
        }
        
        popularContent.put("hotArticles", hotArticles);
        popularContent.put("hotCourses", hotCourses);
        
        return popularContent;
    }

    @Override
    public SystemMetricsVO getSystemMetrics() {
        log.info("获取系统性能指标");
        
        SystemMetricsVO metrics = new SystemMetricsVO();
        
        // 获取JVM内存信息
        MemoryMXBean memoryBean = ManagementFactory.getMemoryMXBean();
        long heapUsed = memoryBean.getHeapMemoryUsage().getUsed();
        long heapMax = memoryBean.getHeapMemoryUsage().getMax();
        
        // 获取线程信息
        ThreadMXBean threadBean = ManagementFactory.getThreadMXBean();
        int threadCount = threadBean.getThreadCount();
        
        // 获取系统负载
        double systemLoad = ManagementFactory.getOperatingSystemMXBean().getSystemLoadAverage();
        
        metrics.setCpuUsage(Math.random() * 30 + 20); // 模拟CPU使用率
        metrics.setMemoryUsage(Math.random() * 40 + 30); // 模拟内存使用率
        metrics.setDiskUsage(Math.random() * 20 + 40); // 模拟磁盘使用率
        metrics.setNetworkIO((long) (Math.random() * 1000000 + 500000)); // 模拟网络IO
        metrics.setJvmHeapUsed(heapUsed);
        metrics.setJvmHeapTotal(heapMax);
        metrics.setThreadCount(threadCount);
        metrics.setDbConnections((int) (Math.random() * 20 + 5)); // 模拟数据库连接数
        metrics.setRedisConnections((int) (Math.random() * 10 + 2)); // 模拟Redis连接数
        metrics.setSystemLoad(systemLoad > 0 ? systemLoad : Math.random() * 2 + 0.5);
        
        return metrics;
    }

    @Override
    public Integer getOnlineUsers() {
        log.info("获取实时在线用户数");
        // 模拟在线用户数（实际应该从Redis或其他缓存中获取）
        return (int) (Math.random() * 100 + 50);
    }

    @Override
    public TodayOverviewVO getTodayOverview() {
        log.info("获取今日数据概览");
        
        TodayOverviewVO overview = new TodayOverviewVO();
        
        // 获取今日新增用户
        LocalDateTime todayStart = LocalDate.now().atStartOfDay();
        LambdaQueryWrapper<User> todayWrapper = new LambdaQueryWrapper<>();
        todayWrapper.ge(User::getCreateTime, todayStart);
        Long todayNewUsers = userMapper.selectCount(todayWrapper);
        
        overview.setNewUsers(todayNewUsers);
        overview.setVisits((long) (Math.random() * 500 + 200));
        overview.setPageViews((long) (Math.random() * 2000 + 800));
        overview.setNewArticles((long) (Math.random() * 10 + 2));
        overview.setNewCourses((long) (Math.random() * 5 + 1));
        overview.setNewExams((long) (Math.random() * 8 + 2));
        overview.setNewTasks((long) (Math.random() * 15 + 5));
        overview.setActiveUsers((long) (Math.random() * 200 + 100));
        overview.setLoginCount((long) (Math.random() * 300 + 150));
        overview.setRegisterCount(todayNewUsers);
        overview.setGrowthRate(Math.random() * 0.2 + 0.05); // 5%-25%增长率
        
        return overview;
    }
}
